Dynamic Power Control in a Wireless Static Channel Subject to a Quality-of-Service Constraint

2005 ◽  
Vol 53 (5) ◽  
pp. 842-851 ◽  
Author(s):  
Barιş Ata
2021 ◽  
Vol 20 (1) ◽  
pp. 89
Author(s):  
M Zatiar Erwan Kalam ◽  
Ni Made Ary Esta Dewi Wirastuti ◽  
I Made Oka Widyantara

Jaringan komunikasi semakin bergantung pada WLAN, maka semakin tinggi tuntutan Quality of Service (QoS) WLAN seperti Throughput, delay, dan jitter Untuk menjaga keamanan media komunikasi data, maka digunakan mekanisme keamanan jaringan Wired Equivalent Privacy (WEP), WiFi Protected Access (WPA), dan WPA2 [14]. Mall Bali Galeria memiliki beberapa alternatif Free WiFi. Banyaknya Wi-Fi yang terpasang menimbulkan permasalahan interferensi yang mempengaruhi unjuk kerja jaringan WiFi, MBG sendiri memiliki area Indoor dan Outdoor, Alternatif untuk mengatasi interferensi adalah dengan melakukan automasi penkanalan dengan menerapkan Channel Fly, Background Scanning dan Static Channel. Dari mekanisme keamanan, Penkanalan dan frekuensi dibuat skenario dilakukan penelitian pada setiap askes point untuk mendapatkan skenario terbaik, dari skenario yang diajukan, nilai Paket loss terbaik lingkungan indoor AP 4 dengan skenario frekuensi 5Ghz, Statik Channel, WEP-64 paket loss 0,016 ms, lingkungan outdoor AP 5 Frekuensi 5Ghz, Channel Fly, WEP-64 paket loss 0.094 ms, nilai Jitter terbaik lingkungan indoor AP 2 5Ghz Background Scanning, WPA 2, Jitter 1.336 ms, lingkungan outdoor AP 8 5Ghz, Statik Channel, WPA2-Mixed Jitter 1,116 ms, nilai Throughput terbaik lingkungan indoor AP 1 5Ghz, Statik channel, WPA2-Mixed, Throughput 78,7Mbps, untuk Outdoor AP 8 5Ghz, Background Scanning, Disable Security, Throughput 80Mbps jika dibandingkan dengan skenario eksisting performa unjuk kerja meningkat sebesar 10-30%. WEP memiliki nilai packet loss baik tetapi memiliki nilai Throughput yang lebih kecil. Static channel disarankan pada lokasi yang memiliki interferensi tinggi.


2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668755 ◽  
Author(s):  
Sungwook Kim

In modern times, it has been observed that Internet of things technology makes it possible for connecting various smart objects together through the Internet. For the effective Internet of things management, it is necessary to design and develop service models that ensure appropriate level of quality-of-service. Therefore, the design of quality-of-service management schemes has been a hot research issue. In this work, we formulate a new quality-of-service management scheme based on the IoT system power control algorithm. Using the emerging and largely unexplored concept of the R-learning algorithm and docitive paradigm, system agents can teach other agents how to adjust their power levels while reducing computation complexity and speeding up the learning process. Therefore, our proposed power control approach can provide the ability to practically respond to current Internet of things system conditions and suitable for real wireless communication operations. Finally, we validate the introduced concept and confirm the effectiveness of the proposed scheme in comparison with the existing schemes through extensive simulation analysis.


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